code: def test_clip(device):
      from speechbrain.augment.time_domain import DoClip
  
      test_waveform = torch.sin(
          torch.arange(16000.0, device=device)
      ).unsqueeze(0)
  
      # Edge cases
      no_clip = DoClip(clip_low=1, clip_high=1).to(device)
      assert no_clip(test_waveform).allclose(test_waveform)
  
      # Sort of a reimplementation of clipping, but its one function call.
      expected = 2 * test_waveform.clamp(min=-0.5, max=0.5)
      half_clip = DoClip(clip_low=0.5, clip_high=0.5).to(device)
      assert half_clip(test_waveform).allclose(expected)
  
file_path: speechbrain/tests/unittests/test_augment.py
imports: import os
  import torch
  import torchaudio
  from speechbrain.dataio.dataio import write_audio
label_desc: Use image node_id 7 for calling a global function with example usage: test_clip(device) without return types